The CIFAR-10 data set [1]} contains 70000 natural images with size \(32 \times 32\)  pixels across 10 different classes. Figure REF  shows the reconstruction of images from the data set. While the features do approximate the original inputs, the transformation of the generator tends to be more dissimilar due its loss being dependent only on the adversarial contribution (\(\lambda =0)\) . Just as before, Figure REF  shows random samples and interpolation, which show a diversity of images, albeit less perceptual similar to the original data set.
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